Match

Səbail vs Kapaz: result 1-0 and analysis

Premyer LiqaRegular Season - 6Kick-off on September 23, 2017 at 01:30 PM (UTC)ASCO Arena, Baku

Səbail
1-0
Kapaz

Full time

What was the result of Səbail vs Kapaz?

Səbail won 1-0 on September 23, 2017.

Goalscorers

  • 60′E. TagaýevSəbail

Official lineup for Səbail vs Kapaz

The starting elevens fielded at kick-off.

Səbail

  1. 10N. Novruzov
  2. 17Vüqar Nadirov
  3. 69Renan
  1. 3T. Tsetskhladze
  2. 11E. Tagaýev
  3. 66Pärviz Qaraxanov
  1. 20E. Yaqublu
  2. 23Ayrton Daryl Statie
  3. 35Edgaras Žarskis
  4. 99M. Jarjué
  1. 1E. Balayev

Kapaz

  1. 8Lucky Victor Oseghale
  2. 10T. Rzayev
  3. 13Şəhriyar Rəhimov
  4. 20S. Diallo
  1. 3Dedimar Ferreira das Chagas
  2. 4Ş. Əliyev
  3. 5K. Diniyev
  4. 12İlyas Səfərzadə
  5. 16A. Məmmədov
  6. 21N. Məmmədov
  1. 1D. Kərimi
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Səbail have 9 wins, 2 draws and 4 defeats; Kapaz have 6, 4 and 5.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Səbail
DateOpponentScoreCompetition
Sep 17, 2017Qabala(home)1-3Premyer Liqa
Aug 25, 2017Şamaxı FK(away)0-1Premyer Liqa
Aug 19, 2017Neftchi Baku(home)1-0Premyer Liqa
Aug 13, 2017Zira(away)1-2Premyer Liqa
Apr 27, 2017Bakılı(away)7-1Birinci Dasta
Kapaz
DateOpponentScoreCompetition
Sep 17, 2017Qarabag(away)0-2Premyer Liqa
Sep 9, 2017Şamaxı FK(away)2-3Premyer Liqa
Aug 25, 2017Neftchi Baku(away)0-0Premyer Liqa
Aug 20, 2017Zira(home)0-3Premyer Liqa
Aug 13, 2017Sumqayıt(away)1-2Premyer Liqa

How many goals should we expect?

Səbail score 2.3 and concede 0.7 goals per match over their last 15; Kapaz score 1.0 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Səbail2.30.795/159/15
Kapaz1.01.076/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
6Kapaz63126710

A question about Səbail vs Kapaz?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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